Andrew C. Cullen

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 17

Top Topics

Detect Anomalies

Anomaly Detection

Solving Nonlinear

Top Venues

Annu. Rev. Control.

Artif. Intell. Rev.

Publications

Marc Katzef, Andrew C. Cullen, Tansu Alpcan, Christopher Leckie, Justin Kopacz
Failure-tolerant Distributed Learning for Anomaly Detection in Wireless Networks. CoRR (2023)
Shijie Liu, Andrew C. Cullen, Paul Montague, Sarah M. Erfani, Benjamin I. P. Rubinstein
Enhancing the Antidote: Improved Pointwise Certifications against Poisoning Attacks. CoRR (2023)
Guoxin Sun, Tansu Alpcan, Seyit Camtepe, Andrew C. Cullen, Benjamin I. P. Rubinstein
An Adversarial Strategic Game for Machine Learning as a Service using System Features. AAMAS (2023)
Andrew C. Cullen, Paul Montague, Shijie Liu, Sarah M. Erfani, Benjamin I. P. Rubinstein
It's Simplex! Disaggregating Measures to Improve Certified Robustness. CoRR (2023)
Andrew C. Cullen, Benjamin I. P. Rubinstein, Sithamparanathan Kandeepan, Barry Flower, Philip H. W. Leong
Predicting dynamic spectrum allocation: a review covering simulation, modelling, and prediction. Artif. Intell. Rev. 56 (10) (2023)
Marc Katzef, Andrew C. Cullen, Tansu Alpcan, Christopher Leckie
Robust Wireless Network Anomaly Detection with Collaborative Adversarial Autoencoders. ICC (2023)
Shijie Liu, Andrew C. Cullen, Paul Montague, Sarah M. Erfani, Benjamin I. P. Rubinstein
Enhancing the Antidote: Improved Pointwise Certifications against Poisoning Attacks. AAAI (2023)
Andrew C. Cullen, Paul Montague, Shijie Liu, Sarah M. Erfani, Benjamin I. P. Rubinstein
Exploiting Certified Defences to Attack Randomised Smoothing. CoRR (2023)
Marc Katzef, Andrew C. Cullen, Tansu Alpcan, Christopher Leckie
Generative Adversarial Networks for anomaly detection on decentralised data. Annu. Rev. Control. 53 (2022)
Andrew C. Cullen, Paul Montague, Shijie Liu, Sarah M. Erfani, Benjamin I. P. Rubinstein
Double Bubble, Toil and Trouble: Enhancing Certified Robustness through Transitivity. NeurIPS (2022)
Andrew C. Cullen, Tansu Alpcan, Alexander C. Kalloniatis
Adversarial Decisions on Complex Dynamical Systems using Game Theory. CoRR (2022)
Andrew C. Cullen, Paul Montague, Shijie Liu, Sarah M. Erfani, Benjamin I. P. Rubinstein
Double Bubble, Toil and Trouble: Enhancing Certified Robustness through Transitivity. CoRR (2022)
Marc Katzef, Andrew C. Cullen, Tansu Alpcan, Christopher Leckie, Justin Kopacz
Wireless Network Simulation to Create Machine Learning Benchmark Data. GLOBECOM (2022)
Ifrah Saeed, Andrew C. Cullen, Sarah M. Erfani, Tansu Alpcan
Domain-Aware Multiagent Reinforcement Learning in Navigation. IJCNN (2021)
Marc Katzef, Andrew C. Cullen, Tansu Alpcan, Christopher Leckie, Justin Kopacz
Privacy-Preserving Collaborative SDR Networks for Anomaly Detection. ICC (2021)
Marc Katzef, Andrew C. Cullen, Tansu Alpcan, Christopher Leckie, Justin Kopacz
Distributed Generative Adversarial Networks for Anomaly Detection. GameSec (2020)
Andrew C. Cullen, Simon R. Clarke
A fast, spectrally accurate homotopy based numerical method for solving nonlinear differential equations. J. Comput. Phys. 385 (2019)